I'm Abhishek Ramesh. I'm a Data Engineer and aspiring Data Scientist with a passion for sports analytics, machine learning, and deep learning. Currently, I'm diving deep into the world of computer vision and deep learning through my basketball project. I'm always eager to learn new things and explore cutting-edge technologies.
- 🌐 Based in the Bay Area
- 🎓 Completed my Bachelor's in Data Science from University of San Francisco in 2021. Started my Master's in Data Science at UT Austin in August 2024.
- 💼 4+ years of experience in developing ETL pipelines, dashboards, and APIs through tools like Azure Data Factory, SQL, PowerBI, and Python.
- 🏀 Currently developing a computer vision and deep learning-based system to classify offensive and defensive basketball plays.
- 📊 Skilled in predictive modeling, ethical data visualizations, time series analysis, multi-object tracking.
- Programming Languages: Python, SQL, R
- Statistical Analysis: Hypothesis Testing, ANOVA, Probability distributions, Multivariate Analysis
- Machine Learning: Supervised and Unsupervised learning algorithms, Computer Vision, Neural Networks (CNN, RNN, LSTM)
- Data Engineering: ETL Pipelines (Azure Data Factory, AWS), SQL/NoSQL, Cloud Storage (Azure Blob, S3), Data Lake (ADLS, Databricks), Data Governance
- Visualization Tools: Power BI, Tableau, Python
Feel free to explore my repositories or get in touch if you share similar interests or have exciting opportunities to discuss!